Our Purpose TERADYNE, where experience meets innovation and driving excellence in every connection. We are fueled by creativity and diversity of thought and in our workforce. Our employees are supported to innovate and learn something new every day. We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team – one that makes better decisions, drives innovation and delivers better business results. Opportunity Overview At Teradyne, we're committed to innovation through collective expertise. As a Machine Learning Intern, you'll engage with practical challenges by leveraging your analytical abilities in data analysis, machine learning, and predictive modeling. Work alongside seasoned professionals to gain insights from intricate data, playing a key role in forging groundbreaking solutions that propel our company ahead. You will be engaged in data preparation, visualization, statistical analysis, and predictive model crafting. We welcome students from Data Science, Computer Science, or similar disciplines who are proficient in Python, SQL, and standard data science tools. Responsibilities: Interpret large and complex data sets to extract meaningful trends and patterns. Craft and refine machine learning models for implementation and optimization. Engage with various teams to grasp and respond to business requirements. All About You We seek individuals who share our passion and determination. Our commitment to customer success drives us to go the extra mile. If you’re ready to join us in this mission, take a closer look at the minimum criteria for the position. We are seeking a PhD student from Northeastern University to join our collaboration project focused on AI applications in hardware. Pursuing a PhD in computer science, Electrical Engineering, or related areas of study. Demonstrated analytical prowess and problem-solving aptitude. Practical experience with Python, SQL, and data visualization instruments. We are only considering candidates local to position location and are unable to provide relocation for this position. #LI-HP1
